Sinan Uğur Umu
Sinan Uğur Umu
Cancer Registry of Norway, Oslo, Norway
Verified email at - Homepage
Cited by
Cited by
A comprehensive profile of circulating RNAs in human serum
SU Umu, H Langseth, C Bucher-Johannessen, B Fromm, A Keller, ...
RNA biology 15 (2), 242-250, 2018
A comprehensive benchmark of RNA–RNA interaction prediction tools for all domains of life
SU Umu, PP Gardner
Bioinformatics 33 (7), 988-996, 2017
Robust identification of noncoding RNA from transcriptomes requires phylogenetically-informed sampling
S Lindgreen, SU Umu, ASW Lai, H Eldai, W Liu, S McGimpsey, ...
PLoS computational biology 10 (10), e1003907, 2014
Avoidance of stochastic RNA interactions can be harnessed to control protein expression levels in bacteria and archaea
SU Umu, AM Poole, RCJ Dobson, PP Gardner
eLife 5, 2016
A high-resolution map of the human small non-coding transcriptome
T Fehlmann, C Backes, J Alles, U Fischer, M Hart, F Kern, H Langseth, ...
Bioinformatics 34 (10), 1621-1628, 2018
Epigenome‐wide analysis of methylation changes in the sequence of gallstone disease, dysplasia, and gallbladder cancer
J Brägelmann, C Barahona Ponce, K Marcelain, S Roessler, B Goeppert, ...
Hepatology, 2020
TaME-seq: an efficient sequencing approach for characterisation of HPV genomic variability and chromosomal integration
S Lagström, SU Umu, M Lepistö, P Ellonen, R Meisal, IK Christiansen, ...
Scientific reports 9 (1), 1-12, 2019
Circulating small non-coding RNAs associated with age, sex, smoking, body mass and physical activity
TB Rounge, SU Umu, A Keller, E Meese, G Ursin, S Tretli, R Lyle, ...
Scientific reports 8 (1), 1-13, 2018
A probabilistic approach to microRNA-target binding
H Oğul, SU Umu, YY Tuncel, MS Akkaya
Biochemical and Biophysical Research Communications 413 (1), 111-115, 2011
MirGeneDB 2.1: toward a complete sampling of all major animal phyla
B Fromm, E Høye, D Domanska, X Zhong, E Aparicio-Puerta, ...
Nucleic acids research 50 (D1), D204-D210, 2022
A 10 year prediagnostic followup study shows that serum RNA signals are highly dynamic in lung carcinogenesis
SU Umu, H Langseth, A Keller, E Meese, Å Helland, R Lyle, TB Rounge
Molecular Oncology, 2019
A meta-analysis of bioinformatics software benchmarks reveals that publication-bias unduly influences software accuracy
PP Gardner, JM Paterson, FA Ghomi, SUU Umu, S McGimpsey, A Pawlik
BioRxiv, 092205, 2017
HPV16 and HPV18 type-specific APOBEC3 and integration profiles in different diagnostic categories of cervical samples
S Lagström, AH Løvestad, SU Umu, OH Ambur, M Nygård, TB Rounge, ...
Tumour Virus Research 12, 200221, 2021
Sustained software development, not number of citations or journal choice, is indicative of accurate bioinformatic software
PP Gardner, JM Paterson, S McGimpsey, F Ashari-Ghomi, SU Umu, ...
bioRxiv, 092205, 2021
Serum RNA Profiling in the 10-Years Period Prior to Diagnosis of Testicular Germ Cell Tumor
J Burton, SU Umu, H Langseth, T Grotmol, TK Grimsrud, TB Haugen, ...
Front Oncol 10, 574977, 2020
RNA Sequencing of Hepatobiliary Cancer Cell Lines: Data and Applications to Mutational and Transcriptomic Profiling
D Scherer, M Dávila López, B Goeppert, S Abrahamsson, ...
Cancers 12 (9), 2510, 2020
Trainer: A general-purpose trainable short biosequence classifier
H Oqul, AT Kalkan, SU Umu, MS Akkaya
Protein Pept Lett, 2013
Sustained software development, not number of citations or journal choice, is indicative of accurate bioinformatic software
PP Gardner, JM Paterson, S McGimpsey, F Ashari-Ghomi, SU Umu, ...
Genome biology 23 (1), 1-13, 2022
Serum RNAs can predict lung cancer up to 10 years prior to diagnosis
SU Umu, H Langseth, V Zuber, Å Helland, R Lyle, TB Rounge
Elife 11, e71035, 2022
PO-096 Natural variation in serum small non-coding rnas–potential biomarkers of cancer
SU Umu, R Lyle, H Langseth, TB Rounge
ESMO Open 3, A263-A264, 2018
The system can't perform the operation now. Try again later.
Articles 1–20